Vertica Machine Learning for the Enterprise – What’s New

Presented by

Jeff Healey, Badr Ouali, and Waqas Dhillon, Vertica

About this talk

Vertica supports the entire data science lifecycle by enabling data scientists to perform machine learning at scale and put their models into production. We have recently added many important features, including AutoML, Auto Data-Prep, stepwise and Bayesian search, statistical tests, dynamic charting, and other graphics. In order to support users to work with other data science tools, we have enhanced our integration capabilities with support for XGBoost, sklearn, and export to Python. Join us to hear about these and many other interesting capabilities that can help you with your machine learning needs.

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The Vertica Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Find more information on Vertica at